Machine learning applications for short reach optical communication

Y Xie, Y Wang, S Kandeepan, K Wang - Photonics, 2022 - mdpi.com
With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …

End-to-end deep learning of optical fiber communications

B Karanov, M Chagnon, F Thouin… - Journal of Lightwave …, 2018 - ieeexplore.ieee.org
In this paper, we implement an optical fiber communication system as an end-to-end deep
neural network, including the complete chain of transmitter, channel model, and receiver …

End-to-end learning for VCSEL-based optical interconnects: State-of-the-art, challenges, and opportunities

M Srinivasan, J Song, A Grabowski… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …

200 Gbps/lane IM/DD technologies for short reach optical interconnects

X Pang, O Ozolins, R Lin, L Zhang… - Journal of Lightwave …, 2020 - opg.optica.org
Client-side optics are facing an ever-increasing upgrading pace, driven by upcoming 5G
related services and datacenter applications. The demand for a single lane data rate is soon …

Physics-based deep learning for fiber-optic communication systems

C Häger, HD Pfister - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
We propose a new machine-learning approach for fiber-optic communication systems
whose signal propagation is governed by the nonlinear Schrödinger equation (NLSE). Our …

Applying neural networks in optical communication systems: Possible pitfalls

TA Eriksson, H Bülow, A Leven - IEEE Photonics Technology …, 2017 - ieeexplore.ieee.org
We investigate the risk of overestimating the performance gain when applying neural
network-based receivers in systems with pseudorandom bit sequences or with limited …

Photonic machine learning implementation for signal recovery in optical communications

A Argyris, J Bueno, I Fischer - Scientific reports, 2018 - nature.com
Abstract Machine learning techniques have proven very efficient in assorted classification
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …

Nonlinear equalizer based on neural networks for PAM-4 signal transmission using DML

AG Reza, JKK Rhee - IEEE Photonics Technology Letters, 2018 - ieeexplore.ieee.org
Nonlinear distortion from a directly modulated laser (DML) is one of the major limiting factors
to enhance the transmission capacity beyond 10 Gb/s for an intensity modulation direct …

Experimental investigation of optoelectronic receiver with reservoir computing in short reach optical fiber communications

SM Ranzini, R Dischler, F Da Ros… - Journal of Lightwave …, 2021 - ieeexplore.ieee.org
The cloud edge data center will enable reliable and low latency options for the network, and
the interconnection among these data-centers will demand a scalable low-complexity …

100 GHz externally modulated laser for optical interconnects

O Ozolins, X Pang, MI Olmedo, A Kakkar… - Journal of Lightwave …, 2017 - opg.optica.org
We report on a 116 Gb/s on-off keying (OOK), four pulse amplitude modulation (PAM) and
105-Gb/s 8-PAM optical transmitter using an InP-based integrated and packaged externally …